Search Results - "Ding, K.H"

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  1. 1

    Correlated microstructure and magnetic properties of Ce-substituted sintered Nd-Fe-B magnets: Role of various phases at triple junctions and grain boundaries by Li, G.M., Peng, Z.J., Chen, X.L., Ding, K.H., Sorokin, P., Perumal, A., Chen, J.H., Xu, X.D.

    Published in Acta materialia (01-12-2023)
    “…We report the investigation of the microstructure and magnetic properties of a sintered (Nd,Pr)30.3-xCexFebalM1.4B0.92 (in wt.%, xCe = 0) magnet with varying…”
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    Journal Article
  2. 2

    Glucose-dependent insulinotropic peptide is an integrative hormone with osteotropic effects by Bollag, R.J, Zhong, Q, Ding, K.H, Phillips, P, Zhong, L, Qin, F, Cranford, J, Mulloy, A.L, Cameron, R, Isales, C.M

    Published in Molecular and cellular endocrinology (25-05-2001)
    “…Glucose-dependent insulinotropic peptide (GIP) is a gut-derived hormone known to be important in modulating glucose-induced insulin secretion. In addition, GIP…”
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    Journal Article
  3. 3

    Monte Carlo simulations of scattering of electromagnetic waves from dense distributions of nonspherical particles by Tsang, L., Ding, K.H., Shih, S.E.

    “…In a dense, discrete random medium, the propagation and scattering of waves are not only affected by the individual properties of the particles such as sizes,…”
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    Conference Proceeding
  4. 4

    Monte Carlo simulations of the extinction rate of densely packed spheres with clustered and non-clustered geometries by Zurk, L.M., Ding, K.H., Tsang, L., Winebrenner, D.P.

    “…The attempt to characterize physical media such as snow has led to the development of discrete particle models, in which aggregations of particles are embedded…”
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    Conference Proceeding
  5. 5

    Subsurface detection based on enhanced SAR signatures using angular correlation function by Shih, S.E., Ding, K.H., Zhang, Y., Kong, J.A.

    “…Presents the simulation of synthetic aperture radar (SAR) images using angular correlation function (ACF) measurements for the subsurface detection of buried…”
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    Conference Proceeding
  6. 6

    Saline ice thickness retrieval under diurnal thermal cycling conditions by Shih, S.E., Ding, K.H., Kong, J.A., Nghiem, S.V., Jordan, A.K.

    “…An inversion algorithm is presented to reconstruct ice growth under thermal cycling conditions by using time-series active microwave measurements. The method…”
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    Conference Proceeding
  7. 7

    A GIS-driven interactive radar image simulation using EMSARS model by Yang, Y.E., Ewe, H.T., Hsu, C.C., Wang, L., Shih, S.E., Ding, K.H., Kong, J.A., Shin, R.T., Nguyen, H., Nguyen, T., Ho, J.Y., O'Neill, K.

    “…Advances in computer hardware have made significant impact in the remote sensing field. Advanced graphical workstations allow researchers to display processed…”
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    Conference Proceeding
  8. 8
  9. 9

    Thickness retrieval using time series electromagnetic measurements of laboratory grown saline ice by Shih, S.E., Ding, K.H., Nghiem, S.V., Hsu, C.C., Kong, J.A., Jordan, A.K.

    “…An electromagnetic inverse scattering theory using time-series measured data has been developed to retrieve the thickness of sea ice. The approach is based on…”
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    Conference Proceeding
  10. 10

    Modeling of electromagnetic wave scattering from time-varying snowcover by Ding, K.H., Yang, Y.E., Shih, S.E., Kong, J.A., Davis, R.E.

    “…A study of the effects of time-varying snowcovers on the radar backscatter signatures is presented. To this objective, a snow physics model, known as SNTHERM,…”
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    Conference Proceeding